TensorFlow.NET/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs at master · z3rg/TensorFlow.NET · GitHub

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using Microsoft.VisualStudio.TestTools.UnitTesting;

using System;

using System.Collections.Generic;

using System.Linq;

using System.Text;

using Tensorflow;

using Tensorflow.NumPy;

namespace TensorFlowNET.UnitTest.NumPy

{

/// <summary>

/// https://numpy.org/doc/stable/reference/generated/numpy.prod.html

/// </summary>

[TestClass]

public class MathTest : EagerModeTestBase

{

[TestMethod]

public void prod()

{

var p = np.prod(1.0, 2.0);

Assert.AreEqual(p, 2.0);

p = np.prod(new[,] { { 1.0, 2.0 }, { 3.0, 4.0 } });

Assert.AreEqual(p, 24.0);

p = np.prod(new[,] { { 1.0, 2.0 }, { 3.0, 4.0 } }, axis: 1);

Assert.AreEqual(p.shape, 2);

Assert.IsTrue(Equal(p.ToArray<double>(), new[] { 2.0, 12.0 }));

}

[TestMethod]

public void astype()

{

var x = np.array(new byte[] { 1, 100, 200 });

var x1 = x.astype(np.float32);

Assert.AreEqual(x1[2], 200f);

}

[TestMethod]

public void divide()

{

var x = np.array(new float[] { 1, 100, 200 });

var y = x / 2;

Assert.AreEqual(y.dtype, np.float32);

}

[TestMethod]

public void sin()

{

var x = np.sin(np.pi / 2);

Assert.AreEqual(x, 1d);

}

[TestMethod]

public void cos()

{

var x = np.cos(np.pi / 2);

Assert.AreEqual(x, 6.123233995736766e-17);

}

[TestMethod]

public void power()

{

var x = np.arange(6);

var y = np.power(x, 3);

Assert.AreEqual(y, new[] { 0, 1, 8, 27, 64, 125 });

}

TensorFlow.NET/test/TensorFlowNET.UnitTest/Numpy/Math.Test.cs at master · z3rg/TensorFlow.NET · GitHub

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